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지중 석탄가스화 공정 시뮬레이션을 통한 산화제 주입조건에 따른 합성가스 특성에 대한 연구
장동하(Dong-Ha Jang),윤상필(Sang-Phil Yoon),김형택(Hyung-Taek Kim),김정규(Jeong-Gyoo Kim),조원준(Won-Jun Cho),주우성(Woo-Sung Ju),이진욱(Jin-Wook Lee),이찬(Chan Lee) 한국가스학회 2013 한국가스학회지 Vol.17 No.5
에너지 보안의 위기를 타파하기 위한 가장 많은 관심을 가지고 있는 것 중 하나가 지중 속 매장되어 있는 석탄이다. 본 연구에서는 지중에서 석탄을 직접 채굴을 하지 않고 지중 내 석탄 가스화를 직접 진행할 수 있는 지중 석탄가스화 공정에 대하여 화학 반응 공정 모사를 진행하였다. 본 연구는 1980년대 말에 미국의 Rocky Mountain 1지중 석탄가스화 프로젝트를 참고로 진행을 하여 기본 모델을 완성하였다. 그리고 산화제 주입조건에 따른 민감도 분석을 통하여 합성가스의 조성 결과를 확인하였다. 반응 모델은 건조, 열분해, 촤 가스화로 나누어 모델이 구현되었고 실제 실험값에서의 생산된 가스량, 가스화 된 탄소량, 가스 수율 등의 값으로 결과를 확인하였다. The underground coal which is buried in the ground will have a lot of attention to overcome energy crisis as an energy resources standpoint. Many studies of underground coal gasification have been also conducted because of its advantage which does not require mining. In this study, the simulation of underground coal gasification process was carried out with Aspen Plus. This study was executed by Rock Mountain 1 Underground Coal Gasification project in the United States in the late 1980s as a reference. Sensitivity analysis proceeded to investigate synthesis gas characteristics following different injection condition of oxidizing agent. The underground coal gasification model has been implemented. That is divided into drying, pyrolysis, char gasification and the simulation results was confirmed by the production gas flow, yield of synthesis gas and amount of gasified carbon from results of the actual experimental data.
당뇨병 환자에 있어서 혈장 Active Renin 및 Inactive Renin 활성도의 변동
장동석(Dong Suk Jang),김진홍(Jin Hong Kim),김원호(Won Ho Kim),백홍선(Hong Sun Baek),김선희(Sun Hee Kim),조경우(Kyung Woo Cho) 대한내과학회 1987 대한내과학회지 Vol.33 No.4
N/A Active, inactive & total renin activity were studied in the groups of l03 controls, 11 diabetids without complications and 39 diabetics with complications. Inactive renin was activated by trypsin, The results were as followins; 1) Active, inactive and total renin activity were decreased with increasing age in normal controls. 2) 1n normal control groups, active renin activity was 1.69±0.06ng/ml/hr, inactive renin activity 1.99±0.13 ng/ml/hr, total renin activity was 3.72±0.13 ng/ml/hr, inactive renin/total renin ratio was 52.19%. 3) In diabetics without complications, active renin activity was 2.68±18 ng/ml/hr. Inactive renin activity was 5.63±1.10 ng/ml/hr, tota1 renin activity was 8.31±1.22 ng/ml/hr, and then inactive renin/total renin ratio was 65.38%. Inactive renin activity in diabetics without complications was increased significantly than normal controls. 5) In diabetics with complications, active renin activity was 1.54±0.28 ng/m1/hr, inactive renin activity was 8.49±1.08 ng/ml/hr, total renin activity was 9.77±1.25 ng/ml/hr and then inactive renin/total renin ratio was 84.94%. Inactive renin activity in diabetics with complications was increased significantly than diabetics without complications.
이충원,장동수,오노우에 코조,김용성 한국방재학회 2013 한국방재학회논문집 Vol.13 No.1
The aim of this study is to investigate the engineering characteristics of volcanic ash-cement mixtures using unconfined compression test, flexural strength test, SEM and XRD analysis. The specimens were prepared with volcanic ash from Mt. Baekdusan and Mt. Hallasan, and cement as the ratios of 3.5:1, 4.0:1, 4.5:1, 5.0:1 with and without metakaolin. From the test results, both compressive strength and flexural strength degraded with increasing of the amount of volcanic ash, and increased with addition of metakaolin as a binder. Also, ettringite generated by cement hydration was detected by SEM and XRD, and that possibly contributes to the strength of volcanic ash-cement mixtures. 본 연구는 화산재-시멘트 혼합토의 압축강도, 휨강도, 미세구조 등의 분석을 통해 화산재-시멘트 혼합토의 공학적 특성을 구명함을 목적으로 한다. 화산재-시멘트 혼합토로서 백두산 및 한라산 화산재와 시멘트를 3.5:1, 4.0:1, 4.5:1, 5.0:1의 비율로 혼합한 시료 및 동일한 조건에 대해 시멘트 중량의 1/10에 해당하는 메타카올린을 첨가한 시료를 조성하여 실험을 수행하였다. 실험 결과, 화산재 혼합률이 증가할수록 화산재-시멘트 혼합토의 압축강도 및 휨강도가 감소하였으며, 메타카올린을 추가 혼합한 경우 강도증진 및 파괴변형률의 변화가 나타났다. 또한, 주사전자현미경(SEM) 및 X선 회절분석법(XRD)에 의한 분석 결과,재령의 경과에 따라 시멘트 수화생성물인 에트린자이트(Ettringite)가 생성되어 혼합토의 간극 충진을 통해 흙과의 결합력 및 강도 증진에 기여하는 것으로 판단되었다.
MORE KUNAL NANDKUMAR,장동조,Jun-Young Lee,Jeong-Hoon Park 대한방사성의약품학회 2019 Journal of radiopharmaceuticals and molecular prob Vol.5 No.1
Hypoxia-inducible factor-1 (HIF-1α) is a transcription factor activated in response to low oxygen level, and ishighly expressed in many solid tumors. Moreover, HIF-1α is a representative biomarker of hypoxia and alsohelps to maintain cell homeostasis under hypoxic condition. Most solid tumors show hypoxia, which inducespoor prognosis and resistance to conventional cancer therapies. Thus, early diagnosis of hypoxia with positronemission tomography (PET) radiotracer would be highly beneficial for management of malignant solid tumorswith effective cancer therapy. YC-1 is a most promising candidate among several HIF-1α inhibitors. As an effortto develop a hypoxia imaging tool as a PET radiotracer, we designed and synthesized [18F]DFYC based onpotent derivative of YC-1 and performed preliminary in vitro cell uptake study. [18F]DFYC showed a significantaccumulation in SKBR-3 cells among other cancer cells, proving as a good lead to develop a hypoxic solidtumor such as breast cancer.
잡음과 스펙트럼 이동에 강인한 CNN 기반 라만 분광 알고리즘
박재현,유형근,이창식,장동의,박동조,남현우,박병황 한국군사과학기술학회 2021 한국군사과학기술학회지 Vol.24 No.3
Raman spectroscopy is an equipment that is widely used for classifying chemicals in chemical defense operations. However, the classification performance of Raman spectrum may deteriorate due to dark current noise, background noise, spectral shift by vibration of equipment, spectral shift by pressure change, etc. In this paper, we compare the classification accuracy of various machine learning algorithms including k-nearest neighbor, decision tree, linear discriminant analysis, linear support vector machine, nonlinear support vector machine, and convolutional neural network under noisy and spectral shifted conditions. Experimental results show that convolutional neural network maintains a high classification accuracy of over 95 % despite noise and spectral shift. This implies that convolutional neural network can be an ideal classification algorithm in a real combat situation where there is a lot of noise and spectral shift.
비접촉식 화학작용제 탐지용 라만 분광계를 위한 Denoising Autoencoder 기반 잡음제거 기술
이창식,유형근,박재현,김휘민,박동조,장동의,남현우,Lee, Chang Sik,Yu, Hyeong-Geun,Park, Jae-Hyeon,Kim, Whimin,Park, Dong-Jo,Chang, Dong Eui,Nam, Hyunwoo 한국군사과학기술학회 2021 한국군사과학기술학회지 Vol.24 No.4
Raman spectrometers are studied and developed for the military purposes because of their nondestructive inspection capability to capture unique spectral features induced by molecular structures of colorless and odorless chemical warfare agents(CWAs) in any phase. Raman spectrometers often suffer from random noise caused by their detector inherent noise, background signal, etc. Thus, reducing the random noise in a measured Raman spectrum can help detection algorithms to find spectral features of CWAs and effectively detect them. In this paper, we propose a denoising autoencoder for Raman spectra with a loss function for sample efficient learning using noisy dataset. We conduct experiments to compare its effect on the measured spectra and detection performance with several existing noise reduction algorithms. The experimental results show that the denoising autoencoder is the most effective noise reduction algorithm among existing noise reduction algorithms for Raman spectrum based standoff detection of CWAs.
P-987 : Comparison of numerical simulation and experimental results for microchannel heat exchangers
최수현,이승재,유상필,김희연,정남조,송광섭,장동순 한국화학공학회 2007 화학공학의이론과응용 Vol.10 No.2
마이크로 반응기는 열과 물질 전달을 위한 확산거리가 작고 부피에 대한 표면적의 비가 매우 크다는 특징을 갖고 있어 화학 반응 및 열과 물질 전달이 필요한 분야에 여러 가지 목적의 반응기로 사용 가능하다.특히, 자동차와 휴대기기의 전원으로 사용하고자 개발 중인 마이크로 연료전지에 있어서 heating용 마이크로 열교환기의 사용이 크게 늘어날 것으로 예상된다.본 연구에서는 마이크로 연료전지용 fuel processor로 적용 가능한 마이크로 열교환기의 특성에 대하여 살펴보았다. 실험에 사용된 열교환기는 폭200μm,깊이 200μm,길이 20mm의 채널을 갖는 40×40×0.2mm3 stainless steel판이 사용되었다. 본 열교환 실험 조건에서 40-90 %의 열교환율을 얻었으며, heating air의 Reynolds number가 작고, cooling air의 Reynolds number가 클수록 열교환율이 높았다. 그러나 전달된 열 양은 heating air와 cooling air의 Reynolds number가 모두 클 때 크게 나타났다. 그리고 마이크로 열교환기의 효율을 증대시키기 위하여 미세 채널에서 유체의 흐름과 열전달 현상을 상용 소프트웨어(FLUENT)를 분석하고 flow의 균일 분배를 얻을 수 있는 조건을 찾아 실험을 통해 얻은 값과 비교하여보았다.